HFT Developer

Syndicate Finance; New Delhi; Remote; INR 4,000,000 - 7,000,000; Full time

Job summary

Syndicate Finance in India seeks a Senior HFT Development Engineer to design and optimize high-frequency trading systems. Proficiency in C++ and low-latency architectures is essential, with remote work from anywhere in India.

The role focuses on real-time market data processing, order-management, and execution components, collaborating with researchers and trading teams to move strategies from research to production.

Qualifications

• 5+ years of experience in high-frequency trading or low-latency systems.
• Strong proficiency in C++ for performance-critical development.
• Experience with real-time market data processing and execution components.
• Familiarity with FPGA-based technologies is a plus.

Responsibilities

• Develop high-frequency and algorithmic trading strategies.
• Design and implement ultra-low-latency trading systems in C++.
• Develop and optimize market-data processing, order-management, and execution components.
• Work with FPGA-based technologies for low-latency market-data processing and trading applications.
• Optimize systems for latency, throughput, determinism, and reliability.
• Collaborate with quantitative researchers and trading/infrastructure teams to take strategies from research to production.

Skills

C++

Low-latency

High-frequency trading

FPGA

Job description

Location: Pan India

Work Mode: Remote

Experience: 5+ Years

We are looking for a highly skilled Senior HFT Development Engineer with strong experience in C++, low-latency systems to join our team remotely from anywhere in India.

The role will focus on the development, optimization, and implementation of high-frequency trading (HFT) strategies and low-latency trading infrastructure. The ideal candidate should have a strong understanding of financial markets, electronic trading systems, performance-critical C++ development.

Key Responsibilities

• Develop high-frequency and algorithmic trading strategies.
• Design and implement ultra-low-latency trading systems in C++.
• Develop and optimize market-data processing, order-management, and execution components.
• Work with FPGA-based technologies for low-latency market-data processing and trading applications.
• Optimize systems for latency, throughput, determinism, and reliability.
• Work with real-time market data, order books, exchange protocols, and execution systems.
• Conduct strategy research, simulation, backtesting, and performance analysis.
• Profile and optimize existing systems at both software and hardware levels.
• Collaborate with quantitative researchers and trading/infrastructure teams to take strategies from research to production.